Information order in monotone decision problems under uncertainty
Jian Li and
Junjie Zhou
ISU General Staff Papers from Iowa State University, Department of Economics
Abstract:
This paper examines the robustness of Lehmann’s ranking of experiments (Lehmann, 1988) for decisionmakers who are uncertainty-averse à la Cerreia- Vioglio et al. (2011). We show that, assuming commitment, for all uncertaintyaverse indices satisfying some mild assumptions, Lehmann’s informativeness ranking is equivalent to the induced uncertainty-averse value ranking of experiments for all agents with single-crossing vNM utility indices (Theorem 1). Moreover, Lehmann ranking can also be detected by varying the uncertainty-averse indices for a fixed finite collection of vNM utility indices (Theorem 2). Our findings suggest that Lehmann’s ranking can be a useful enrichment of Blackwell’s ranking for monotone decision problems even if ambiguity is present. We apply our results to social aggregation of information preferences and investment decision problems.
Date: 2019-07-02
New Economics Papers: this item is included in nep-mic and nep-upt
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Persistent link: https://EconPapers.repec.org/RePEc:isu:genstf:201907020700001077
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